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Cloud Solution Architecture IC5

Microsoft· Cloud Solution Architecture
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Hybrid (Hybrid India (Bangalore + Gurgaon))Full-timePosted 1w ago

About the role

Cloud Solution Architect focused on driving adoption of Databricks solutions on the Microsoft platform, collaborating with Databricks and customers to achieve business outcomes using Microsoft Azure Data, Infrastructure, and AI services. Leads technical discussions, resolves blockers, and accelerates consumption across Databricks, Azure data & AI offerings.

Responsibilities

  • Serve as a trusted technical advisor to Databricks, customers, and partners, helping them realize business value from their investments in Microsoft Azure and Databricks.
  • Lead architecture reviews, technical strategy discussions, proof-of-concepts, and production deployments to accelerate adoption of data, analytics, AI, and modernization solutions.
  • Guide customers and partners in implementing best practices for security, governance, reliability, performance, and operational excellence.
  • Identify and resolve technical blockers that impact solution deployment, scalability, adoption, or customer success outcomes.
  • Design, validate, and optimize enterprise-scale architectures leveraging Databricks, Azure Data Services, AI Services, and cloud-native technologies.
  • Drive technical assessments, workload modernization initiatives, and architectural reviews for strategic customer and partner engagements.
  • Develop reusable IP, reference architectures, technical guidance, and deployment accelerators that improve solution scalability and repeatability.
  • Influence technology roadmaps and platform decisions by providing architectural leadership and industry expertise.
  • Collaborate with Databricks, Microsoft Sales, Customer Success, Engineering, Product, and Partner teams to drive successful customer outcomes and adoption at scale.
  • Lead virtual teams to address complex technical challenges and deliver cross-functional solutions.
  • Represent Microsoft and Databricks in customer engagements, industry events, technical communities, and field enablement activities.
  • Share customer and partner insights with Product and Engineering teams to influence product strategy and drive continuous improvement.
  • Drive Azure consumption, Databricks adoption, and customer success metrics across assigned accounts and partner engagements.
  • Help partners develop and scale differentiated solutions and services that create customer value and accelerate cloud adoption.
  • Collaborate with partner technical and sales teams to identify growth opportunities and expand the adoption of Microsoft Data, Analytics, and AI solutions.
  • Maintain deep expertise in Databricks, Azure, Data & AI technologies, industry trends, and competitive offerings.
  • Demonstrate a growth mindset through continuous learning, technical skilling, and knowledge sharing.
  • Contribute to Microsoft and Databricks thought leadership through technical insights, customer success stories, and best-practice development.

Qualifications

  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 7+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  • 6+ years customer-facing technical sales experience.
  • 6+ years experience leading technical projects.
  • Deep expertise in Databricks, Apache Spark, Delta Lake, and modern Data & AI platforms, including data engineering, analytics, machine learning, and Generative AI workloads.
  • Proven experience designing, architecting, and deploying enterprise-scale cloud solutions on Microsoft Azure, including Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, Azure Synapse Analytics, Azure AI Services, and Azure Machine Learning.
  • Strong background in building and modernizing data platforms, including data lakes, data warehouses, streaming architectures, and advanced analytics environments.
  • Demonstrated success in customer-facing architecture, consulting, technical sales, customer success, or solution delivery roles, supporting complex enterprise transformations.
  • Solid understanding of cloud architecture and operational excellence, including security, identity, networking, governance, reliability, scalability, and performance optimization.
  • Experience influencing and engaging with executive stakeholders, technical decision-makers, architects, and engineering teams to drive strategic outcomes.
  • Deep understanding of digital transformation trends, cloud platforms, and emerging Data & AI technologies, with ability to translate technology capabilities into business value.
  • Proven ability to lead design, implementation, modernization, or support of large-scale distributed applications, data platforms, and analytics solutions.
  • Excellent communication, presentation, collaboration, and stakeholder management skills.
  • One or more certifications: Databricks; Databricks Certified Data Engineer Professional; Microsoft Certified: Azure Databricks Data Engineer Associate (DP-750).

Skills

Required:DatabricksApache SparkAzure DatabricksAzure Data ServicesSecurity and GovernanceCustomer-facing communication

Benefits

  • Not listed in the provided description.
Last updated Oct 16, 2026. Interested? Apply on the company site.

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